New Results
A network-based approach to eQTL interpretation and SNP functional characterization
M. Fagny, J.N. Paulson, M.L. Kuijjer, A.R. Sonawane, C.-Y. Chen, C.M. Lopes-Ramos, K. Glass, J. Quackenbush, J. Platig
doi: https://doi.org/10.1101/086587
M. Fagny
1 Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
2 Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
J.N. Paulson
1 Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
2 Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
M.L. Kuijjer
1 Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
2 Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
A.R. Sonawane
3 Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA
C.-Y. Chen
1 Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
2 Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
C.M. Lopes-Ramos
1 Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
2 Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
K. Glass
3 Channing Division of Network Medicine, Brigham and Women’s Hospital, Boston, Massachusetts, USA
J. Quackenbush
1 Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
2 Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
4 Department of Cancer Biology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
J. Platig
1 Department of Biostatistics and Computational Biology, Dana-Farber Cancer Institute, Boston, Massachusetts, USA
2 Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, USA
Article usage
Posted November 09, 2016.
A network-based approach to eQTL interpretation and SNP functional characterization
M. Fagny, J.N. Paulson, M.L. Kuijjer, A.R. Sonawane, C.-Y. Chen, C.M. Lopes-Ramos, K. Glass, J. Quackenbush, J. Platig
bioRxiv 086587; doi: https://doi.org/10.1101/086587
Subject Area
Subject Areas
- Biochemistry (11703)
- Bioengineering (8718)
- Bioinformatics (29127)
- Biophysics (14930)
- Cancer Biology (12048)
- Cell Biology (17353)
- Clinical Trials (138)
- Developmental Biology (9406)
- Ecology (14143)
- Epidemiology (2067)
- Evolutionary Biology (18266)
- Genetics (12219)
- Genomics (16765)
- Immunology (11841)
- Microbiology (28003)
- Molecular Biology (11551)
- Neuroscience (60804)
- Paleontology (450)
- Pathology (1864)
- Pharmacology and Toxicology (3229)
- Physiology (4939)
- Plant Biology (10383)
- Synthetic Biology (2877)
- Systems Biology (7333)
- Zoology (1642)